IOI: Invisible One-Iteration Adversarial Attack on No-Reference Image- and Video-Quality Metrics

arXiv:2403.05955v1 Announce Type: cross
Abstract: No-reference image- and video-quality metrics are widely used in video processing benchmarks. The robustness of learning-based metrics under video attacks has not been widely studied. In addition to having success, attacks that can be employed in video processing benchmarks must be fast and imperceptible. This paper introduces an Invisible One-Iteration (IOI) adversarial attack on no reference image and video quality metrics. We compared our method alongside eight prior approaches using image and video datasets via …

abstract adversarial arxiv attacks benchmarks cs.cv eess.iv image iteration metrics processing quality reference robustness success type video video processing